B2B EDI Specialist

Responsibilities

• B2B / EDI Domain Expertise
• Act as the subject-matter expert on B2B/EDI standards, document types, and trading partner requirements (e.g., X12, EDIFACT, XML/JSON, flat files).
• Advise on message specifications, implementation guides, validation rules, and acknowledgement handling (997/999, CONTRL, etc.).
• Translate business and partner requirements into clear functional and technical specifications.
• Partner Onboarding and Transaction Flows
• Support end-to-end partner onboarding: requirements gathering, mapping specs, testing, certification, and go-live.
• Coordinate with partners, internal integration teams, and support teams to resolve issues and reduce onboarding cycle time.
• AI-Enabled Use Cases
• Identify and drive AI-assisted mapping use cases, including auto-suggesting field mappings, generating mapping specifications, and validating outputs.
• Define and support AI-driven error analysis: classifying failures, identifying root causes, and recommending resolutions.
• Support anomaly detection on transaction volumes, data quality, SLA breaches, and partner behavior.
• Contribute to operational intelligence: dashboards, alerts, and insights that improve visibility and decision-making.
• Create and curate domain knowledge, labeled datasets, prompts, and test cases to improve model and agent accuracy.
• Evaluate AI outputs for correctness and business relevance, and provide structured feedback for continuous improvement.
• Stakeholder Collaboration
• Work closely with business, product, engineering, and data/AI teams to define requirements, prioritize use cases, and measure outcomes.
• Communicate findings, risks, and progress clearly to technical and non-technical audiences.
• Document processes, playbooks, and best practices for reuse.
• Eligibility Requirements
• 6–7 years of experience in B2B/EDI integration, onboarding, or support (adjust to level).
• Strong working knowledge of EDI standards (X12 and/or EDIFACT) and common transaction sets.
• Hands-on experience with at least one B2B/integration platform (e.g., IBM Sterling, Seeburger, OpenText, Cleo, SPS Commerce, MuleSoft, Boomi).
• Experience with end-to-end transaction troubleshooting and root cause analysis.
• Strong analytical skills and comfort working with data (SQL or equivalent).
• Excellent communication and stakeholder management skills.
• Preferred Qualifications
• Exposure to AI/ML or GenAI use cases in integration or operations (prompt design, LLM-assisted mapping, copilots, agents).
• Familiarity with anomaly detection concepts, monitoring tools, and BI/dashboarding (Power BI, Tableau, Splunk, or similar).
• Knowledge of APIs, JSON/XML, and integration patterns (REST, SFTP, AS2, VAN).
• Basic scripting skills (Python) for data analysis or prototyping.
• Key Competencies
• Domain depth with a practical, problem-solving mindset
• Curiosity and ability to translate business problems into AI use cases
• Attention to detail and data accuracy
• Collaboration across business, product, and technology teams
• Ownership and ability to work in fast-paced, evolving environments
• In the US, the target base salary for this role is up to $145,000. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors

About eClerx

Preferred Qualifications

• Exposure to AI/ML or GenAI use cases in integration or operations (prompt design, LLM-assisted mapping, copilots, agents).
• Familiarity with anomaly detection concepts, monitoring tools, and BI/dashboarding (Power BI, Tableau, Splunk, or similar).
• Knowledge of APIs, JSON/XML, and integration patterns (REST, SFTP, AS2, VAN).
• Basic scripting skills (Python) for data analysis or prototyping.
• Key Competencies
• Domain depth with a practical, problem-solving mindset
• Curiosity and ability to translate business problems into AI use cases
• Attention to detail and data accuracy
• Collaboration across business, product, and technology teams
• Ownership and ability to work in fast-paced, evolving environments
• In the US, the target base salary for this role is up to $145,000. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors